Dialysis Dry Weight Determination Using Blood Volume Rebound
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Solution Overview
Problem
Existing methods for determining dry weight in dialysis therapy are imprecise, costly, labor-intensive, and require manual interpretation, leading to potential complications from dehydration or fluid overload.
Innovation Solution
A system using a neuronal network to automatically evaluate blood volume rebound after ultrafiltration, allowing for precise determination of dry weight and adaptation of ultrafiltration volume, adaptable to individual patients, and integrated into existing dialysis systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If bioimpedance measurement is used to determine dry weight, then measurement precision is improved, but device complexity and cost increase due to requiring special electrodes and instruments
Solution Approach 1:
The patent uses existing blood volume monitoring data (which is already collected during dialysis therapy) as a substitute for dedicated bioimpedance measurement equipment. By analyzing the blood volume curve and hematocrit changes that are already being monitored, the system determines dry weight without requiring separate bioimpedance electrodes or instruments, thus reducing device complexity while maintaining measurement capability
Solution Approach 2:
The system makes the existing blood volume monitoring system serve multiple functions: it continues to monitor blood volume during dialysis therapy while simultaneously providing data for dry weight determination. This multi-functionality eliminates the need for separate dedicated measurement devices, reducing overall system complexity while maintaining measurement precision
2Measurement precision
If vena-cava diameter measurement with ultrasound is used, then measurement precision is improved, but ease of operation deteriorates due to requiring additional equipment and staff training
Solution Approach 1:
The patent integrates dry weight determination into the existing blood volume monitoring workflow, allowing the same system and staff to perform both dialysis monitoring and dry weight assessment without requiring separate ultrasound equipment or additional specialized training
Solution Approach 2:
The system automatically analyzes blood volume data and generates dry weight determinations without requiring manual ultrasound measurements or complex staff interpretation, reducing the operational burden on dialysis staff
3Productivity
If blood volume monitoring with Hct sensor is used, then productivity is improved through continuous monitoring, but measurement precision deteriorates due to dependence on empirical interpretation
Solution Approach 1:
The system uses the continuously monitored blood volume data and hematocrit changes as feedback to automatically determine dry weight. By analyzing the blood volume curve shape, refilling rate, and hematocrit variations during and after ultrafiltration, the system objectively determines dry weight without relying on staff empirical interpretation, thus maintaining both continuous monitoring productivity and measurement precision
4Ease of operation
If manual evaluation of blood pressure and blood volume courses is used, then ease of operation is maintained, but measurement precision and reliability deteriorate due to subjectivity and potential errors
Solution Approach 1:
The system automatically analyzes blood volume and blood pressure data to determine dry weight without requiring manual staff evaluation. The automated analysis eliminates subjective interpretation while maintaining operational simplicity, as the system performs the analysis independently based on predefined algorithms
Solution Approach 2:
The system continuously monitors blood volume and blood pressure parameters and uses this feedback data to automatically determine dry weight, replacing manual subjective evaluation with objective automated analysis that maintains both simplicity and precision
5Measurement precision
If automated neuronal network evaluation is implemented, then measurement precision and productivity are improved, but device complexity increases
Solution Approach 1:
The patent implements the neuronal network within the existing dialysis control system, allowing it to perform both standard dialysis monitoring and advanced dry weight determination using the same hardware infrastructure. This integration minimizes additional complexity while enabling sophisticated automated analysis
Solution Approach 2:
The system uses data already collected by the blood volume monitoring system as input for the neuronal network, avoiding the need for separate dedicated measurement equipment. The neuronal network processes existing hematocrit and blood volume data to generate dry weight determinations, reducing overall system complexity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Provides rapid, direct, and accurate determination of dry weight with reduced staff effort, minimizing complications by ensuring precise hydration assessment.
Implementation Method 1
the rate of change or increase of the so-called blood volume rebound is determined upon reaching a set/predetermined ultrafiltration volume
Implementation Method 2
This is done by so-called ultrafiltration in which fluid is removed from the blood via a dialyzer
Implementation Method 3
water flows from the intracellular space into the intravascular space due to osmosis
Data Source
AI summary
The present disclosure relates to a system and a method for determining the dry weight of a patient after dialysis therapy, wherein the patient's blood volume is monitored and blood volume values are output. The blood volume values are recorded and evaluated for a predetermined period of time after reaching an ultrafiltration volume appropriately predetermined for the patient, wherein the dry weight of the patient then is determined on the basis of the rate of change of the blood volume during the predetermined period of time.